AI Strategy & Process Intelligence Consultant

Summary

Our client is a leading accounting and consulting firm and seeks a client-facing AI Strategy & Process Intelligence Consultant to help organizations identify, assess, and advance opportunities for AI-powered automation. This consultant will work with business stakeholders and technical teams to analyze processes, document workflows and decision points, prioritize high-value use cases, evaluate solution feasibility, and incorporate responsible AI and governance requirements into practical recommendations.

They are seeking an experienced consultant who can translate business needs into actionable process intelligence, automation opportunities, and AI use cases. The role emphasizes process discovery, current-state and future-state analysis, opportunity qualification, business case development, and collaboration with solution teams to move ideas from discovery through pilot planning. The ideal candidate combines consulting skills, business process acumen, AI fluency, analytical rigor, and working knowledge of AI governance to support responsible delivery using our AI platform built on the Microsoft Azure AI ecosystem and other leading enterprise AI products.

AI Strategy Support & Client Advisory

• Support client engagements that connect business objectives to practical AI and automation opportunities, priorities, and implementation considerations.
• Gather and synthesize stakeholder requirements, operational pain points, desired outcomes, and success measures into structured recommendations.
• Contribute analysis and deliverables for AI roadmaps, adoption planning, capability assessments, and change-impact discussions under the direction of engagement leadership.

Business Process Analysis & Automation Opportunity Identification

• Analyze client business processes, workflows, roles, systems, data flows, pain points, controls, handoffs, and decision points to identify automation, augmentation, and advanced AI opportunities.
• Conduct stakeholder interviews, process walkthroughs, discovery sessions, and ideation workshops; document current-state and future-state processes using clear process maps, requirements, and findings.
• Identify process bottlenecks, rework, manual effort, control gaps, and decision complexity that can be addressed through workflow automation, analytics, generative AI, or agentic capabilities.
• Evaluate and prioritize opportunities based on business value, feasibility, risk, data readiness, adoption complexity, and alignment with client objectives.

AI Use Case Portfolio, Business Case & ROI Evaluation

• Develop and maintain qualified AI use case inventories that connect business objectives, process opportunities, expected benefits, dependencies, risks, and recommended sequencing.
• Support business case development by estimating productivity impact, cost-to-serve improvements, revenue enablement, risk reduction, operational efficiency, and implementation considerations.
• Collaborate with technical architects, data leaders, security teams, and engineering teams to validate assumptions and assess solution feasibility, integration complexity, technical risk, and delivery effort.

AI, GenAI & Agentic Automation Advisory

• Help clients evaluate practical applications of generative AI, agentic automation, retrieval-augmented generation, intelligent workflow orchestration, and AI-assisted decision support.
• Translate business and process requirements into solution hypotheses, capability requirements, user stories, proof-of-concept scope, and measurable acceptance criteria.
• Collaborate with solution teams using our AI platform, Microsoft Azure AI Foundry, Azure OpenAI, Microsoft Agent Framework, Semantic Kernel, and other leading enterprise AI products where appropriate.
• Document human-in-the-loop controls, escalation paths, exception handling, oversight needs, and performance measures for proposed AI-enabled processes.

Responsible AI & Governance Support

• Incorporate responsible AI, privacy, security, compliance, and risk considerations into process assessments, use case recommendations, and delivery plans.
• Apply established client and firm governance policies, standards, intake processes, risk assessment methods, approval gates, and documentation requirements to proposed use cases.
• Support the development or refinement of use case inventories, risk documentation, control requirements, governance workflows, and reporting materials under the direction of governance and risk leaders.
• Maintain working knowledge of frameworks such as NIST AI RMF and ISO/IEC 42001, along with relevant privacy, security, and regulatory expectations, to identify issues requiring escalation to appropriate specialists.

Client Workshops, Facilitation & Executive Communication

• Plan and facilitate stakeholder interviews, process discovery sessions, requirements workshops, and AI opportunity ideation sessions.
• Create client-ready deliverables, including process maps, opportunity assessments, use case summaries, business case inputs, requirements, governance documentation, and implementation recommendations.
• Communicate AI concepts, process findings, risks, tradeoffs, and recommendations clearly to business, technology, and risk stakeholders.

Required Qualifications

• 6+ years of experience in management consulting, business process analysis, intelligent automation, digital transformation, AI advisory, business analysis, or a related field.
• Demonstrated experience conducting stakeholder interviews, facilitating discovery workshops, documenting requirements, and producing client-facing analysis.
• Strong experience analyzing business processes, mapping current-state and future-state workflows, identifying automation opportunities, and translating findings into actionable use cases.
• Working understanding of AI, generative AI, workflow automation, analytics, and emerging agentic AI capabilities, with the ability to connect technical capabilities to business needs.
• Ability to assess business value, feasibility, risks, dependencies, data readiness, control requirements, and adoption considerations in partnership with technical and governance teams.
• Working knowledge of responsible AI, AI governance, risk management, privacy, security, and compliance considerations relevant to AI-enabled processes.
• Strong structured problem-solving, facilitation, written communication, and client relationship skills.

Preferred Qualifications

• Bachelor’s degree in Business, Computer Science, Engineering, Data Science, Information Systems, Operations, or a related field; advanced degree preferred.
• Experience advising enterprise or public sector clients on process improvement, intelligent automation, AI adoption, governance, risk, compliance, or digital transformation.
• Familiarity with process mapping, process mining, task mining, workflow automation, low-code platforms, or business process management tools.
• Familiarity with Microsoft Azure AI Foundry, Azure OpenAI, Microsoft Copilot ecosystem, Power Platform, agentic AI frameworks, RAG, and enterprise AI platforms.
• Knowledge of NIST AI RMF, ISO/IEC 42001, privacy and security requirements, model risk management, or enterprise GRC practices.
• Ability to work effectively with cross-functional teams across business, technology, data, legal, risk, compliance, security, and audit.